Machine Learning Algorithms to Differentiate Among Pulmonary Complications After Hematopoietic Cell Transplant.

ABSTRACT:

Background

Pulmonary complications, including infections, are highly prevalent in patients after hematopoietic cell transplantation with chronic graft-vs-host disease. These comorbid diseases can make the diagnosis of early lung graft-vs-host disease (bronchiolitis obliterans syndrome) challenging. A quantitative method to differentiate among these pulmonary diseases can address diagnostic challenges and facilitate earlier and more targeted therapy.

Study design and methods

We conducted a single-center study of 66 patients with CT chest scans analyzed with a quantitative imaging tool known as parametric response mapping. Parametric response mapping results were correlated with pulmonary function tests and clinical characteristics. Five parametric response mapping metrics wer

SUBMITTER: Sharifi H 

PROVIDER: S-EPMC8097633 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature